Home resources as a measure of socio-economic status in Ghana

Abstract In large scale international assessment studies, questionnaires are typical used to query students’ home possessions. Composite scores are computed from responses to the home resource questionnaires and are used as a measure of family socioeconomic background in achievement comparison or fo...

Full description

Bibliographic Details
Main Authors: Emmanuel Adu-tutu Bofah, Markku S. Hannula
Format: Article
Language:English
Published: SpringerOpen 2017-01-01
Series:Large-scale Assessments in Education
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40536-017-0039-5
id doaj-fbefb28c359646b0ba084574ddd8c81f
record_format Article
spelling doaj-fbefb28c359646b0ba084574ddd8c81f2020-11-25T01:00:42ZengSpringerOpenLarge-scale Assessments in Education2196-07392017-01-015111510.1186/s40536-017-0039-5Home resources as a measure of socio-economic status in GhanaEmmanuel Adu-tutu Bofah0Markku S. Hannula1Department of Teacher Education, University of HelsinkiDepartment of Teacher Education, University of HelsinkiAbstract In large scale international assessment studies, questionnaires are typical used to query students’ home possessions. Composite scores are computed from responses to the home resource questionnaires and are used as a measure of family socioeconomic background in achievement comparison or for statistical control. This paper deals with profiling the socio-economic status (SES) of Ghanaian students’ in the context of the TIMSS 2011 study. Latent class analysis was used to profile students into respective SES classes based on the students’ responses to 11 questions concerning their home resources. The results showed three clearly distinct socio-economic profiles: high-, middle- and low-SES. Moreover, a discriminate analysis was conducted to explore the degree to which the groups are accurately classified. The discriminant analysis was able to correctly classify 92.20% of the individual students into their appropriate SES group. A gender comparison of these classes suggested stable measurement invariance for the latent class indicators. This article contributes to addressing the composition of SES by providing statistical criteria to evaluate SES using empirical data.http://link.springer.com/article/10.1186/s40536-017-0039-5TIMSSGhanaSocio-economic status/profilesLatent class analysisDiscriminant analysisHome possessions/resources
collection DOAJ
language English
format Article
sources DOAJ
author Emmanuel Adu-tutu Bofah
Markku S. Hannula
spellingShingle Emmanuel Adu-tutu Bofah
Markku S. Hannula
Home resources as a measure of socio-economic status in Ghana
Large-scale Assessments in Education
TIMSS
Ghana
Socio-economic status/profiles
Latent class analysis
Discriminant analysis
Home possessions/resources
author_facet Emmanuel Adu-tutu Bofah
Markku S. Hannula
author_sort Emmanuel Adu-tutu Bofah
title Home resources as a measure of socio-economic status in Ghana
title_short Home resources as a measure of socio-economic status in Ghana
title_full Home resources as a measure of socio-economic status in Ghana
title_fullStr Home resources as a measure of socio-economic status in Ghana
title_full_unstemmed Home resources as a measure of socio-economic status in Ghana
title_sort home resources as a measure of socio-economic status in ghana
publisher SpringerOpen
series Large-scale Assessments in Education
issn 2196-0739
publishDate 2017-01-01
description Abstract In large scale international assessment studies, questionnaires are typical used to query students’ home possessions. Composite scores are computed from responses to the home resource questionnaires and are used as a measure of family socioeconomic background in achievement comparison or for statistical control. This paper deals with profiling the socio-economic status (SES) of Ghanaian students’ in the context of the TIMSS 2011 study. Latent class analysis was used to profile students into respective SES classes based on the students’ responses to 11 questions concerning their home resources. The results showed three clearly distinct socio-economic profiles: high-, middle- and low-SES. Moreover, a discriminate analysis was conducted to explore the degree to which the groups are accurately classified. The discriminant analysis was able to correctly classify 92.20% of the individual students into their appropriate SES group. A gender comparison of these classes suggested stable measurement invariance for the latent class indicators. This article contributes to addressing the composition of SES by providing statistical criteria to evaluate SES using empirical data.
topic TIMSS
Ghana
Socio-economic status/profiles
Latent class analysis
Discriminant analysis
Home possessions/resources
url http://link.springer.com/article/10.1186/s40536-017-0039-5
work_keys_str_mv AT emmanueladututubofah homeresourcesasameasureofsocioeconomicstatusinghana
AT markkushannula homeresourcesasameasureofsocioeconomicstatusinghana
_version_ 1725212439301062656